Established in 2013, Tribe Robotics FRC 4123, brings together professional mentors with enthusiastic and passionate students from Saint John Bosco High School located in Bellflower, CA. With support from our community and corporate sponsors like NASA, Boeing, Pelican Products, and Milwaukee Tools, our team strives to build robots through creative solutions to complex problems and develop leaders and skills for STEM careers.
Our mission is to inspire students to explore, experience and appreciate science, technology, engineering, math and design through hands on participation in team activities; to promote teamwork skills; to prepare students for leadership roles; and enable students to operate in a workshop environment with safe work practices.
To promote the concepts of FIRST in all that we do; to introduce students to positive mentors; to learn life skills and become outstanding role models for our team and community; and to encourage students to pursue education and careers in STEM-related fields.
FIRST Robotics Competition (FRC) gives high school students and their adult mentors the opportunity to work and create together to solve a common problem. Challenged to design and build a robot using standard “kit of parts” and within a common set of rules play a sophisticated field game – all in just six weeks – bringing out the best in students and adults alike. The robot “game” changes every season and is always exciting.
Our Robots and Competitions
2019 FIRST Deep Space: Opportunity
2018 FIRST Power Up: Arcade Angler
Arcade Angler simulated arcade-style gaming with field challenges that held cubes, moved switches, and climbed for extra points. Our robot used pneumatic power and had an operating elevator. We entered this robot into LA Regional, LA Fleet Week, and Boeing’s Open House.
2017 FIRST Steamworks: Finding Steam-O
Finding Steam-o was designed to focus on gaining the most points, and collecting gears with additional focus on shooting. The competition was focus on the steelworks of robots and helped the team use every team member to the best of their ability.
2016 FIRST Stronghold: Sir Swordfish
Sir Swordfish was built to compete head to head with other teams in 2016’s FIRST Stronghold. Sir Swordfish features a 10″ flywheel to launch boulders and was our first robot built to feature an optical auto-aim system. This robot keeps the tradition of having a fish themed name for competition robots.
2016: Theatre Bot
Theatre Bot was created for the Saint John Bosco Drama Department. The Department needed help to further immerse their audience into their play, Long Bridge Over Deep Waters. With the help of Theatre Bot, the cast was able to simulate astronauts floating in space, allowing the views to better visualize what actor were portraying.
2015 Recycle Rush: LoganBot
LoganBot was similar to Kiwi Quail in its function of throwing frisbees, but the new bot expanded on that skill and was also capable of lifting itself off of the ground and onto a pipe. While its accuracy in throwing the frisbees and climbing up the pipe was average, its consistency was the shining quality that guaranteed a high number of points.
2014 Aerial Assist: ChickenBot Pie
Teamwork was especially important in the building and operation of ChickenBot Pie. The robots functions were to catch and throw a ball. The large ball was to be passed from robot to robot, and in order for this to go smoothly, it had to be capable of making calculated and fluent moves. Mecanum wheels were a main component of this feature.
2013 Ultimate Ascent: Kiwi Quail
Kiwi Quail was made to throw frisbees. Its one-purpose design allowed the team to focus on the accuracy of the robot’s throws. The robot was able to launch frisbees from short and long distances with astounding accuracy. Kiwi Quail allows team members to utilize different skills that they had learned throughout the year , including pneumatics.
2012 Rebound Rumble: Basket Bot
BasketBot was engineered to play basketball. Its primary functions were to pick up the basketballs and be able to launch them in to a series of hoops of various heights. With the use of cameras that allowed spatial sensing, BasketBot was able to accurately make shots without assistance.